693.932 PEOPLE
| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Domitner, Josef
Graz University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (41/41 displayed)
- 2024Thermal cycling effects on the local microstructure and mechanical properties in wire-based directed energy deposition of nickel-based superalloycitations
- 2024Engineering approach for determining the mechanical behavior of thin weldscitations
- 2024Experimental and Numerical Analysis of the Three-Point Bending Behavior of Hybrid Adhesive-Bonded Aluminum–Wood Platescitations
- 2024Influence of irregular rivet-die offsets on the integrity and on the load-bearing capacity of self-piercing-riveted aluminum alloy joints
- 2024Engineering approach for modeling the deformation and fracture behavior of thin weldscitations
- 2024Welding of S1100 Ultra high-Strength Steel Plates with Matching Metal-Cored Filler Wirecitations
- 2023Influence of process and heat input on the microstructure and mechanical properties in wire arc additive manufacturing of hot work tool steelscitations
- 2023Influence of microstructure on degradation of cast graphitic high-speed steelcitations
- 2023Mechanical performance of hybrid joints of aluminum sheets and laminated beech veneer plates: an experimental prestudycitations
- 2023Effects of temperature on friction and degradation of dry film lubricants during sliding against aluminum alloy sheetscitations
- 2023Load-bearing capacity of hybrid riv-bonded aluminum-magnesium joints at quasi-static and cyclic loadingscitations
- 2023Influence of alloy composition and lubrication on the formability of Al-Mg-Si alloy blankscitations
- 2023Influence of natural aging on the formability of Al-Mg-Si alloy blankscitations
- 2023Mechanical performance and failure behavior of screw-bonded joints of aluminum sheets and cross-laminated birch veneer platescitations
- 2023Effect of Tensile Loading and Temperature on the Hydrogen Solubility of Steels at High Gas Pressurecitations
- 2022Enhanced gaseous hydrogen solubility in ferritic and martensitic steels at low temperaturescitations
- 2022Formation of long-range ordered intermetallic η’’’ phase and the involvement of silicon during welding of aluminum-steel sheetscitations
- 2022Influence of Plastic Deformation on the Hydrogen Embrittlement Susceptibility of Dual Phase Steelscitations
- 2022Electron beam and metal active gas welding of ultra-high-strength steel S1100MC: influence of heat inputcitations
- 2022Riv-Bonding of Aluminum Alloys with High-Strength Steels against the Favorable Joining Directioncitations
- 2022Viscoplastic Self-Consistent (VPSC) Modeling for Predicting the Deformation Behavior of Commercial EN AW-7075-T651 Aluminum Alloycitations
- 2022Improving deep drawing simulations based on tribological investigations
- 2022Mechanical and microstructural properties of S1100 UHSS welds obtained by EBW and MAG weldingcitations
- 2022Resistance of Quench and Partitioned Steels Against Hydrogen Embrittlementcitations
- 2022Influence of the Sheet Edge Condition on the Fracture Behavior of Riv-Bonded Aluminum-Magnesium Jointscitations
- 2022The role of hydrogen diffusion, trapping and desorption in dual phase steelscitations
- 2022Microstructure Characterization of Nickel Matrix Composite Reinforced with Tungsten Carbide Particles and Produced by Laser Claddingcitations
- 2022Local Heat Treatment for Springback Reduction in Deep Drawing of Advanced High-Strength Steelcitations
- 2021Tribological investigations on aluminum alloys at different contact conditions for simulation of deep drawing processescitations
- 2021Critical verification of the Kissinger theory to evaluate thermal desorption spectracitations
- 2021Characterization of wear and friction between tool steel and aluminum alloys in sheet forming at room temperaturecitations
- 2021Modeling of Hydrogen Diffusion in Slow Strain Rate (SSR) Testing of Notched Samplescitations
- 2021Mechanical Properties of Selective Laser-Melted Components of AlSi10Mg for Prototype Vehiclescitations
- 2021Numerical Simulation of Tube Bending Supported by Hydraulic Pressure for Manufacturing Butt-Welding Fittings
- 2020Numerical simulation of hybrid joining processes: self-piercing riveting combined with adhesive bondingcitations
- 2020Hydrogen embrittlement (HE) of advanced high-strength steels (AHSS)
- 2020Mechanical properties and fracture modes of thin butt-joined aluminum-steel blanks for automotive applicationscitations
- 2020Modeling the Failure Behavior of Self-Piercing Riveting Joints of 6xxx Aluminum Alloycitations
- 2019Deformation Behavior of High-Strength Steel Rivets for Self-Piercing Riveting Applicationscitations
- 2019Thermomechanical Wear Testing of Metal Matrix Composite Cladding for Potential Application in Hot Rolling Millscitations
- 2018Genetic programming method for modelling of cup height in deep drawing processcitations
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article
Genetic programming method for modelling of cup height in deep drawing process
Abstract
<p>Genetic programming method for modelling of maximum height of deep drawn high strength sheet materials is proposed in this paper. Genetic pro-gramming (GP) is an evolutionary computation approach which uses the prin-ciples of Darwin's natural selection to develop effective solutions for different problems. The aim of the research was the modelling of cylindrical cup height in deep drawing process and analysis of the impact of process parameters on material formability. High strength steel sheet materials (DP1180HD and DP780) were formed by deep drawing using different punch speeds and blank holder forces. The heights of specimens before cracks occur were measured. Therefore, four input parameters (yield stress, tensile strength, blank holder force, punch speed) and one output parameter (cup height) were used in the research. The experimental data were the basis for obtaining various accurate prediction models for the cup heights by the genetic pro-gramming method. Results showed that proposed genetic modelling method can successfully predict fracture problems in a process of deep drawing.</p>